Jean-François Rigal

1.8k total citations
15 papers, 1.5k citations indexed

About

Jean-François Rigal is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Jean-François Rigal has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 7 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Jean-François Rigal's work include Advanced machining processes and optimization (11 papers), Advanced Surface Polishing Techniques (7 papers) and Advanced Machining and Optimization Techniques (7 papers). Jean-François Rigal is often cited by papers focused on Advanced machining processes and optimization (11 papers), Advanced Surface Polishing Techniques (7 papers) and Advanced Machining and Optimization Techniques (7 papers). Jean-François Rigal collaborates with scholars based in France, Algeria and Romania. Jean-François Rigal's co-authors include Tarek Mabrouki, Mohamed Athmane Yallese, François Girardin, Kamel Chaoui, Khaider Bouacha, Hamdi Aouici, Muhammad Asad, Lakhdar Boulanouar, Ahmed Belbah and Mohamed Elbah and has published in prestigious journals such as Journal of Materials Processing Technology, Mechanical Systems and Signal Processing and International Journal of Machine Tools and Manufacture.

In The Last Decade

Jean-François Rigal

13 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean-François Rigal France 10 1.4k 842 769 228 216 15 1.5k
Chandra Nath United States 20 1.5k 1.1× 898 1.1× 943 1.2× 245 1.1× 152 0.7× 43 1.7k
Xuda Qin China 24 1.5k 1.1× 918 1.1× 850 1.1× 260 1.1× 170 0.8× 68 1.7k
Lincoln Cardoso Brandão Brazil 19 1.1k 0.8× 590 0.7× 503 0.7× 247 1.1× 154 0.7× 77 1.3k
Michele Monno Italy 22 1.2k 0.8× 416 0.5× 538 0.7× 309 1.4× 183 0.8× 98 1.5k
Jinming Zhou Sweden 25 1.6k 1.1× 692 0.8× 769 1.0× 172 0.8× 516 2.4× 101 1.8k
Tahany El-Wardany Canada 21 1.6k 1.1× 538 0.6× 800 1.0× 275 1.2× 318 1.5× 40 1.8k
M. Rahman Singapore 25 1.7k 1.2× 1.0k 1.2× 1.5k 2.0× 157 0.7× 225 1.0× 61 2.1k
Tojiro AOYAMA Japan 21 1.1k 0.7× 377 0.4× 642 0.8× 197 0.9× 102 0.5× 125 1.3k
E.O. Ezugwu United Kingdom 7 1.5k 1.1× 811 1.0× 696 0.9× 179 0.8× 396 1.8× 11 1.7k
Gorka Urbikaín Spain 25 1.7k 1.2× 583 0.7× 589 0.8× 398 1.7× 221 1.0× 53 1.9k

Countries citing papers authored by Jean-François Rigal

Since Specialization
Citations

This map shows the geographic impact of Jean-François Rigal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean-François Rigal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-François Rigal more than expected).

Fields of papers citing papers by Jean-François Rigal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-François Rigal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean-François Rigal. The network helps show where Jean-François Rigal may publish in the future.

Co-authorship network of co-authors of Jean-François Rigal

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-François Rigal. A scholar is included among the top collaborators of Jean-François Rigal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean-François Rigal. Jean-François Rigal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Belbah, Ahmed, et al.. (2013). On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations. Measurement. 46(5). 1671–1681. 177 indexed citations
2.
Elbah, Mohamed, Mohamed Athmane Yallese, Hamdi Aouici, Tarek Mabrouki, & Jean-François Rigal. (2013). Comparative assessment of wiper and conventional ceramic tools on surface roughness in hard turning AISI 4140 steel. Measurement. 46(9). 3041–3056. 118 indexed citations
3.
Belhadi, Salim, et al.. (2012). Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel. Journal of Mechanical Science and Technology. 26(12). 4105–4114. 83 indexed citations
4.
Aouici, Hamdi, Mohamed Athmane Yallese, Kamel Chaoui, Tarek Mabrouki, & Jean-François Rigal. (2011). Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization. Measurement. 45(3). 344–353. 248 indexed citations
5.
Girardin, François, Didier Rémond, & Jean-François Rigal. (2010). Tool wear detection in milling—An original approach with a non-dedicated sensor. Mechanical Systems and Signal Processing. 24(6). 1907–1920. 34 indexed citations
6.
Girardin, François, Didier Rémond, & Jean-François Rigal. (2010). High Frequency Correction of Dynamometer for Cutting Force Observation in Milling. Journal of Manufacturing Science and Engineering. 132(3). 25 indexed citations
7.
Bouacha, Khaider, Mohamed Athmane Yallese, Tarek Mabrouki, & Jean-François Rigal. (2009). Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool. International Journal of Refractory Metals and Hard Materials. 28(3). 349–361. 310 indexed citations
8.
Yallese, Mohamed Athmane, et al.. (2008). Hard machining of hardened bearing steel using cubic boron nitride tool. Journal of Materials Processing Technology. 209(2). 1092–1104. 178 indexed citations
9.
Mabrouki, Tarek, François Girardin, Muhammad Asad, & Jean-François Rigal. (2008). Numerical and experimental study of dry cutting for an aeronautic aluminium alloy (A2024-T351). International Journal of Machine Tools and Manufacture. 48(11). 1187–1197. 271 indexed citations
10.
Rigal, Jean-François, et al.. (2006). MODELLING OF GEAR CHANGING BEHAVIOUR. Periodica Polytechnica Transportation Engineering. 34. 35–58. 8 indexed citations
11.
Rigal, Jean-François, et al.. (2006). Proposed Methodology for Optimizing Grooving Operations of Ferrous Sintered Material. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 220(4). 555–569. 1 indexed citations
12.
Play, Daniel, et al.. (2006). Mechanical Behaviour Simulation for Synchromesh Mechanism Improvements. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 220(7). 919–945. 63 indexed citations
13.
Rigal, Jean-François, et al.. (2005). Vers l'utilisation des ontologies pour formaliser la sémantique des données de fabrication. Revue Française de Gestion Industrielle. 24(1). 45–67.
14.
Play, Daniel, et al.. (2004). Internal excitation and effects in gear changing process of manual automotive gearboxes. 1 indexed citations
15.
Rigal, Jean-François, et al.. (1998). A Model for Simulation of Vibrations During Boring Operations of Complex Surfaces. CIRP Annals. 47(1). 51–54. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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